julian-q Goto Github PK

archer

Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

attention_experiments

auto-compile

bigchair

BIGCHAIR: BImodal Graph-CHAracter learnIng for Retrieval. Stanford CS 224N final project by Pino Cholsaipant, Sidney Hough, + Julian Quevedo.

composer

Train neural networks up to 7x faster

cs140e-24win

all class materials for 140e

cs149gpt

dotfiles

facecam

fastertransformer

Transformer related optimization, including BERT, GPT

flexgen

Running large language models on a single GPU for throughput-oriented scenarios.

fmri-analysis

Graph Attention Transformer Encoder: QKV attention mechanism for GNNs.

gemm

Improving GEMM performance with language models

gradcache

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

graph-meta-rl-for-amod

Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"

graphgpt

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

hammerspoon-mouse-wheel-autoscroll

hgcn

Increased-Efficiency Hyperbolic Graph Convolutional Networks with PyTorch Geometric.

hugo-papermod

A fast, clean, responsive Hugo theme.

kgene

Knowledge graph extraction from webcrawled plaintext.

kliu.io

A blog.

laser-control

Automatic laser power stabilization using a motorized waveplate mount.

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

magtrack

An Arduino-based device for characterizing magnetic shielding.

meshrcnn

code for Mesh R-CNN, ICCV 2019

object-oriented-nn

Object-oriented neural network built from scratch with NumPy.

plants

Exploring Lindenmayer systems. BIO 20Q project by Pino Cholsaipant + Julian Quevedo.

policy-gradient

Reinforcement Learning: A NumPy implementation of two simple policy gradient algorithms.

pytorch_geometric

Graph Neural Network Library for PyTorch

simple-nn

Simple, shallow neural networks built from scratch with NumPy.